Senior Data Systems Analyst

Jobtailor; Town of Florida (NY); On-site; USD 90,000 - 120,000; Full time

Job summary

Jobtailor is seeking a senior data quality specialist to validate data across enterprise platforms and ensure accuracy, completeness, and regulatory compliance. You will collaborate with data engineers, product owners, and compliance teams to validate business requirements and identify data quality risks.

The role involves assessing data quality across source systems, transformations, and reporting platforms, driving continuous improvement in enterprise data quality practices and ensuring data

Qualifications

• Bachelor's degree in Information Systems, Computer Science, Data Analytics, Business Analytics, or related field; equivalent work experience considered.
• 6+ years of experience in Data Quality Analysis, Data Warehousing, Business Systems Analysis, Data Governance, QA, Data Testing, or Data Validation with Insurance industry experience (P&C and/or Life).
• Experience supporting enterprise data warehouse environments.
• Expertise in data quality management principles, end-to-end business process testing, data warehouse validation and reporting verification, data reconciliation and profiling, SQL querying and data analysis, root cause analysis, test planning/execution, requirements traceability, data governance and data stewardship, regulatory/audit data validation, production incident support, data lineage, metadata, and data quality controls.

Responsibilities

• Provide independent validation and quality assurance across enterprise data platforms, business processes, and reporting solutions.
• Ensure accuracy, completeness, reliability, and regulatory compliance of critical business data.
• Partner with stakeholders, data engineers, data architects, product owners, compliance and operations teams to validate requirements.
• Identify data quality risks and ensure data solutions meet business and regulatory expectations.
• Independently assess data quality across source systems, transformations, integrations, reporting platforms, and downstream users while driving continuous improvement.

Skills

Data Quality Analysis

Data Warehousing

Data Governance

Quality Assurance

Data Testing

SQL

Data Analysis

Root Cause Analysis

Test Planning

ETL/ELT Processes

Education

Bachelor's degree in Information Systems, Computer Science, Data Analytics, Business Analytics, or related field

Job description

Responsibilities

• Provide independent validation and quality assurance across enterprise data platforms, business processes, and reporting solutions.
• Ensure the accuracy, completeness, reliability, and regulatory compliance of critical business data.
• Partner closely with business stakeholders, data engineers, data architects, product owners, compliance teams, and operational teams to validate business requirements.
• Identify data quality risks and ensure enterprise data solutions meet business and regulatory expectations.
• Independently assess data quality across source systems, transformations, integrations, reporting platforms, and downstream consumers while driving continuous improvement in enterprise data quality practices.

Requirements

• Bachelor's degree in Information Systems, Computer Science, Data Analytics, Business Analytics, or a related field; equivalent work experience considered.
• 6+ years of experience in one or more of the following areas: Data Quality Analysis, Data Warehousing, Business Systems Analysis, Data Governance, Quality Assurance, Data Testing, Business Process Validation, Insurance industry experience (P&C and/or Life Insurance).
• Experience supporting enterprise data warehouse environments.
• Demonstrated expertise in: Data quality management principles and methodologies, end-to-end business process testing, data warehouse validation and reporting verification, data reconciliation and data profiling techniques, SQL querying and data analysis, root cause analysis and problem-solving methodologies, test planning, test design, and test execution, requirements analysis and requirements traceability, data governance and data stewardship practices, regulatory, compliance, and audit-related data validation, production incident investigation and resolution support, data lineage, metadata, and data quality controls, relational database concepts and data modeling, validation of ETL/ELT processes and enterprise data pipelines.

Hard Skills

• Data Quality Analysis
• Data Warehousing
• Data Governance
• Quality Assurance
• Data Testing
• SQL
• Data Analysis
• Root Cause Analysis
• Test Planning
• ETL/ELT Processes

Soft Skills

• Problem-Solving
• Communication
• Collaboration
• Stakeholder Management
• Continuous Improvement